On Fri, 28 Jun 2019, 07:42 Amir Caspi, <ceph...@3phase.com> wrote: > Hi all, > > I don't suppose anyone has a neural-net-based SA Machine Learning plugin > or external program, to complement or replace Bayes? There are a number of > fairly compact Python ML packages that would greatly ease this task > nowadays, like TensorFlow. It looks like rspamd has a neural net module... > I wonder if it would be relatively portable. > Hi Amir, I am working on developing a plugin with 2/3 statistical classifiers including (SVM and neural nets) under the Google summer of code programme with Kevin McGrail as my mentor.
I guess there's a bunch of ML in use for QA/masscheck and auto-scoring... > but is there anything for actual rule generation, not just scoring? Or, > like Bayes, where the "rule generation" is embedded in the neural net, and > it just kicks out a spamminess indicator/probability? > > Of course, Gmail and the other big providers have their own ML solutions > that seem to be pretty good, though they have an enormous user base and > near-infinite resources... > > Granted, reliance on python means it's not embedded in SA, but SA already > calls other external programs like pyzor/razor/DCC, so that wouldn't seem > to necessarily be a big knock against it. > With python, as you said it wont be embedded into SA and hence I'm worried about plugin integration. We ( me + mentors) have come up with a couple of possible feasible solutions. Will post about any updates on the list soon. Note- Any information in general which you think might help in this issue, please let me know. > Cheers. > > --- Amir > Regards, Shreyansh Shrivastava >